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Wiesner HM, Balla DZ, Scheffler K, Uğurbil K, Zhu XH, Chen W, Uludağ K, Pohmann R. Quantitative and simultaneous measurement of oxygen consumption rates in rat brain and skeletal muscle using 17 O MRS imaging at 16.4T. Magn Reson Med 2020; 85:2232-2246. [PMID: 33104248 DOI: 10.1002/mrm.28552] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 08/27/2020] [Accepted: 09/22/2020] [Indexed: 12/20/2022]
Abstract
PURPOSE Oxygen-17 (17 O) MRS imaging, successfully used in the brain, is extended by imaging the oxygen metabolic rate in the resting skeletal muscle and used to determine the total whole-body oxygen metabolic rate in the rat. METHODS During and after inhalations of 17 O2 gas, dynamic 17 O MRSI was performed in rats (n = 8) ventilated with N2 O or N2 at 16.4 T. Time courses of the H2 17 O concentration from regions of interest located in brain and muscle tissue were examined and used to fit an animal-adapted 3-phase metabolic model of oxygen consumption. CBF was determined with an independent washout method. Finally, body oxygen metabolic rate was calculated using a global steady-state approach. RESULTS Cerebral metabolic rate of oxygen consumption was 1.97 ± 0.19 μmol/g/min on average. The resting metabolic rate of oxygen consumption in skeletal muscle was 0.32 ± 0.12 μmol/g/min and >6 times lower than cerebral metabolic rate of oxygen consumption. Global oxygen consumed by the body was 24.2 ± 3.6 mL O2 /kg body weight/min. CBF was estimated to be 0.28 ± 0.02 mL/g/min and 0.34 ± 0.06 mL/g/min for the N2 and N2 O ventilation condition, respectively. CONCLUSION We have evaluated the feasibility of 17 O MRSI for imaging and quantifying the oxygen consumption rate in low metabolizing organs such as the skeletal muscle at rest. Additionally, we have shown that CBF is slightly increased in the case of ventilation with N2 O. We expect this study to be beneficial to the application of 17 O MRSI to a wider range of organs, although further validation is advised.
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Affiliation(s)
- Hannes M Wiesner
- High-Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.,Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Dávid Z Balla
- High-Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
| | - Klaus Scheffler
- High-Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.,Department of Biomedical Magnetic Resonance, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Kâmil Uğurbil
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Xiao-Hong Zhu
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Wei Chen
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Kâmil Uludağ
- Techna Institute and Koerner Scientist in MR Imaging, University Health Network, Toronto, Ontario, Canada.,Center for Neuroscience Imaging Research, Institute for Basic Science and Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
| | - Rolf Pohmann
- High-Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
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Niesporek SC, Umathum R, Lommen JM, Behl NG, Paech D, Bachert P, Ladd ME, Nagel AM. Reproducibility of CMRO2determination using dynamic17O MRI. Magn Reson Med 2017; 79:2923-2934. [DOI: 10.1002/mrm.26952] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Revised: 09/07/2017] [Accepted: 09/10/2017] [Indexed: 12/15/2022]
Affiliation(s)
- Sebastian C. Niesporek
- Division of Medical Physics in Radiology; German Cancer Research Center (DKFZ); Heidelberg Germany
| | - Reiner Umathum
- Division of Medical Physics in Radiology; German Cancer Research Center (DKFZ); Heidelberg Germany
| | - Jonathan M. Lommen
- Division of Medical Physics in Radiology; German Cancer Research Center (DKFZ); Heidelberg Germany
| | - Nicolas G.R. Behl
- Division of Medical Physics in Radiology; German Cancer Research Center (DKFZ); Heidelberg Germany
| | - Daniel Paech
- Division of Radiology; German Cancer Research Center (DKFZ); Heidelberg Germany
| | - Peter Bachert
- Division of Medical Physics in Radiology; German Cancer Research Center (DKFZ); Heidelberg Germany
- Faculty of Physics and Astronomy; University of Heidelberg; Heidelberg Germany
| | - Mark E. Ladd
- Division of Medical Physics in Radiology; German Cancer Research Center (DKFZ); Heidelberg Germany
- Faculty of Physics and Astronomy; University of Heidelberg; Heidelberg Germany
- Faculty of Medicine; University of Heidelberg; Heidelberg Germany
| | - Armin M. Nagel
- Division of Medical Physics in Radiology; German Cancer Research Center (DKFZ); Heidelberg Germany
- Institute of Radiology; University Hospital Erlangen; Erlangen Germany
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Einstein SA, Weegman BP, Kitzmann JP, Papas KK, Garwood M. Noninvasive assessment of tissue-engineered graft viability by oxygen-17 magnetic resonance spectroscopy. Biotechnol Bioeng 2017; 114:1118-1121. [PMID: 27869295 PMCID: PMC5459307 DOI: 10.1002/bit.26227] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Revised: 10/27/2016] [Accepted: 11/14/2016] [Indexed: 02/05/2023]
Abstract
Transplantation of macroencapsulated tissue-engineered grafts (TEGs) is being investigated as a treatment for type 1 diabetes, but there is a critical need to measure TEG viability both in vitro and in vivo. Oxygen deficiency is the most critical issue preventing widespread implementation of TEG transplantation and delivery of supplemental oxygen (DSO) has been shown to enhance TEG survival and function in vivo. In this study, we demonstrate the first use of oxygen-17 magnetic resonance spectroscopy (17 O-MRS) to measure the oxygen consumption rate (OCR) of TEGs and show that in addition to providing therapeutic benefits to TEGs, DSO with 17 O2 can also enable measurements of TEG viability. Macroencapsulated TEGs containing βTC3 murine insulinoma cells were prepared with three fractional viabilities and provided with 17 O2 . Cellular metabolism of 17 O2 into nascent mitochondrial water (H217 O) was monitored by 17 O-MRS and, from the measured data, OCR was calculated. For comparison, OCR was simultaneously measured on a separate, but equivalent sample of cells with a well-established stirred microchamber technique. OCR measured by 17 O-MRS agreed well with measurements made in the stirred microchamber device. These studies confirm that 17 O-MRS can quantify TEG viability noninvasively. Biotechnol. Bioeng. 2017;114: 1118-1121. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Samuel A Einstein
- Center for Magnetic Resonance Research and Department of Radiology, University of Minnesota, 2021 Sixth Street SE, Minneapolis, Minnesota, 55455
| | - Bradley P Weegman
- Center for Magnetic Resonance Research and Department of Radiology, University of Minnesota, 2021 Sixth Street SE, Minneapolis, Minnesota, 55455
| | | | | | - Michael Garwood
- Center for Magnetic Resonance Research and Department of Radiology, University of Minnesota, 2021 Sixth Street SE, Minneapolis, Minnesota, 55455
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Liu Y, Zhang Y, Wu C, Zhu J, Wang C, Tomko N, Linetsky MD, Salomon RG, Ramos-Estebanez C, Wang Y, Yu X. High-resolution dynamic oxygen-17 MR imaging of mouse brain with golden-ratio-based radial sampling and k-space-weighted image reconstruction. Magn Reson Med 2017; 79:256-263. [PMID: 28295552 DOI: 10.1002/mrm.26669] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2016] [Revised: 02/07/2017] [Accepted: 02/14/2017] [Indexed: 12/20/2022]
Abstract
PURPOSE The current study aimed to develop a three-dimensional (3D) dynamic oxygen-17 (17 O) MR imaging method with high temporal and spatial resolution to delineate the kinetics of 17 O water uptake and washout in the brains of mice with glioblastoma (GBM). METHODS A 3D imaging method with a stack-of-stars golden-ratio-based radial sampling scheme was employed to acquire 17 O signal in vivo. A k-space-weighted image reconstruction method was used to improve the temporal resolution while preserving spatial resolution. Simulation studies were performed to validate the method. Using this method, the kinetics of 17 O water uptake and washout in the brains of mice with GBM were delineated after an intravenous bolus injection of 17 O water. RESULTS The proposed 17 O imaging method achieved an effective temporal resolution of 7.56 s with a nominal voxel size of 5.625 μL in the mouse brain at 9.4 T. Reduced uptake and prolonged washout of 17 O water were observed in tumor tissue, suggesting compromised cerebral perfusion. CONCLUSION This study demonstrated a promising dynamic 17 O imaging approach that can delineate 17 O water kinetics in vivo with high temporal and spatial resolution. It can also be used to image cerebral oxygen consumption rate in oxygen-17 inhalation studies. Magn Reson Med 79:256-263, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Yuchi Liu
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.,Case Center for Imaging Research, Case Western Reserve University, Cleveland, Ohio, USA
| | - Yifan Zhang
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.,Case Center for Imaging Research, Case Western Reserve University, Cleveland, Ohio, USA
| | - Chunying Wu
- Case Center for Imaging Research, Case Western Reserve University, Cleveland, Ohio, USA.,Department of Radiology, Case Western Reserve University, Cleveland, Ohio, USA
| | - Junqing Zhu
- Case Center for Imaging Research, Case Western Reserve University, Cleveland, Ohio, USA.,Department of Radiology, Case Western Reserve University, Cleveland, Ohio, USA
| | - Charlie Wang
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.,Case Center for Imaging Research, Case Western Reserve University, Cleveland, Ohio, USA
| | - Nicholas Tomko
- Department of Chemistry, Case Western Reserve University, Cleveland, Ohio, USA
| | - Mikhail D Linetsky
- Department of Chemistry, Case Western Reserve University, Cleveland, Ohio, USA
| | - Robert G Salomon
- Department of Chemistry, Case Western Reserve University, Cleveland, Ohio, USA
| | | | - Yanming Wang
- Case Center for Imaging Research, Case Western Reserve University, Cleveland, Ohio, USA.,Department of Radiology, Case Western Reserve University, Cleveland, Ohio, USA
| | - Xin Yu
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.,Case Center for Imaging Research, Case Western Reserve University, Cleveland, Ohio, USA.,Department of Radiology, Case Western Reserve University, Cleveland, Ohio, USA.,Department of Physiology and Biophysics, Case Western Reserve University, Cleveland, Ohio, USA
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Zhu XH, Chen W. In vivo 17O MRS imaging - Quantitative assessment of regional oxygen consumption and perfusion rates in living brain. Anal Biochem 2016; 529:171-178. [PMID: 27568551 DOI: 10.1016/j.ab.2016.08.026] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Revised: 08/22/2016] [Accepted: 08/24/2016] [Indexed: 10/21/2022]
Abstract
In the last decade, in vivo oxygen-17 (17O) MRS has evolved into a promising MR technique for noninvasively studying oxygen metabolism and perfusion in aerobic organs with the capability of imaging the regional metabolic rate of oxygen and its changes. In this chapter, we will briefly review the methodology of the in vivo17O MRS technique and its recent development and applications; we will also discuss the advantages of the high/ultrahigh magnetic field for 17O MR detection, as well as the challenges and potential of this unique MRS method for biomedical research of oxygen metabolism, mitochondrial function and tissue energetics in health and disease.
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Affiliation(s)
- Xiao-Hong Zhu
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, School of Medicine, Minneapolis, MN, USA.
| | - Wei Chen
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, School of Medicine, Minneapolis, MN, USA
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